What are the Key Applications of AI in Toxicology?
Key applications of AI in toxicology include:
Predictive Toxicology: AI models predict the potential toxicity of new chemicals and pharmaceuticals, aiding in the development of safer products. Data Integration: AI combines data from various sources such as omics technologies, environmental monitoring, and clinical studies to provide comprehensive toxicity profiles. Risk Assessment: AI helps in assessing the risk of exposure to toxic substances by evaluating dose-response relationships and exposure scenarios. Adverse Outcome Pathways (AOPs): AI aids in the identification and mapping of AOPs, which are critical for understanding the mechanisms of toxicity.
